Recent developments in deep learning have demonstrated potential in improving the analysis of medical images in diagnosing cancer. This paper tackles the problem of precise diagnosis of thyroid cancer and stratification of risk based on multimodal imaging data. We suggest a deep-learning structure using the VGGNet fram...
A. S.· 2026 6th International Confe...· 0 citations
Melanoma is a type of skin cancer that is one of the most aggressive, and its diagnosis requires quick and accurate identification to increase patient survival. This paper draws a comparative analysis of advanced deep learning systems, namely, VGG and traditional CNN systems, used in automatic melanoma detection in der...
A. S.· International Conference on...· 0 citations
Proper diagnosis and prognosis of colon cancer is essential to enhancing patient outcomes and informing individual treatment plans. This paper has formulated a deep learning model that is powered by the R-MobileNet design to perform effective colon cancer classification through clinical structured data. The model relie...
A. S.· International Conference on...· 0 citations
Epilepsy is a long-lasting neurological condition that is characterized by repeated seizures and affects millions of people across the world. Traditional methods of diagnosis that are based on manual interpretation of the clinical examinations and electroencephalogram (EEG) are frequently time-consuming and subjective....
A. S.· 2026 4th International Confe...· 0 citations
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